12,995 research outputs found

    Conceptual spatial representations for indoor mobile robots

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    We present an approach for creating conceptual representations of human-made indoor environments using mobile robots. The concepts refer to spatial and functional properties of typical indoor environments. Following ïŹndings in cognitive psychology, our model is composed of layers representing maps at diïŹ€erent levels of abstraction. The complete system is integrated in a mobile robot endowed with laser and vision sensors for place and object recognition. The system also incorporates a linguistic framework that actively supports the map acquisition process, and which is used for situated dialogue. Finally, we discuss the capabilities of the integrated system

    Interactive searching and browsing of video archives: using text and using image matching

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    Over the last number of decades much research work has been done in the general area of video and audio analysis. Initially the applications driving this included capturing video in digital form and then being able to store, transmit and render it, which involved a large effort to develop compression and encoding standards. The technology needed to do all this is now easily available and cheap, with applications of digital video processing now commonplace, ranging from CCTV (Closed Circuit TV) for security, to home capture of broadcast TV on home DVRs for personal viewing. One consequence of the development in technology for creating, storing and distributing digital video is that there has been a huge increase in the volume of digital video, and this in turn has created a need for techniques to allow effective management of this video, and by that we mean content management. In the BBC, for example, the archives department receives approximately 500,000 queries per year and has over 350,000 hours of content in its library. Having huge archives of video information is hardly any benefit if we have no effective means of being able to locate video clips which are of relevance to whatever our information needs may be. In this chapter we report our work on developing two specific retrieval and browsing tools for digital video information. Both of these are based on an analysis of the captured video for the purpose of automatically structuring into shots or higher level semantic units like TV news stories. Some also include analysis of the video for the automatic detection of features such as the presence or absence of faces. Both include some elements of searching, where a user specifies a query or information need, and browsing, where a user is allowed to browse through sets of retrieved video shots. We support the presentation of these tools with illustrations of actual video retrieval systems developed and working on hundreds of hours of video content

    Indexing, browsing and searching of digital video

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    Video is a communications medium that normally brings together moving pictures with a synchronised audio track into a discrete piece or pieces of information. The size of a “piece ” of video can variously be referred to as a frame, a shot, a scene, a clip, a programme or an episode, and these are distinguished by their lengths and by their composition. We shall return to the definition of each of these in section 4 this chapter. In modern society, video is ver

    A Personalized System for Conversational Recommendations

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    Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help users find items of interest of a particular type, such as movies or restaurants, but are still somewhat awkward to use. Our solution is to take advantage of the complementary strengths of personalized recommendation systems and dialogue systems, creating personalized aides. We present a system -- the Adaptive Place Advisor -- that treats item selection as an interactive, conversational process, with the program inquiring about item attributes and the user responding. Individual, long-term user preferences are unobtrusively obtained in the course of normal recommendation dialogues and used to direct future conversations with the same user. We present a novel user model that influences both item search and the questions asked during a conversation. We demonstrate the effectiveness of our system in significantly reducing the time and number of interactions required to find a satisfactory item, as compared to a control group of users interacting with a non-adaptive version of the system

    Designing for tacit learning: an investigation of design strategies for multimedia supported learning in the crafts

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    There is an increasing interest and activity in the design of interactive multimedia to support learning in all fields of education and training. However, most of the theory to support such developments is concerned with learning explicit knowledge and there is little guidance available to designers of material for learning in areas with an element of tacit knowledge such as craft skills. This paper describes the foundation work for a long-term project concerned with learning in traditional rural crafts but with the intention to provide a methodological framework for the design of multimedia-based learning in all areas of craft knowledge. A review of established theory of learning and the use of multimedia for learning in areas of explicit knowledge indicates some important basic principles, for example the need to understand the interaction between the teacher and learner in the context of the subject being taught and the need for clear narrative structures to avoid students becoming "lost" in the multiple pathways of interactive media. Observational studies of learning using educational video in a craft context and a study of an experienced craftsman/teacher teaching a group of learners, complemented by study of learning in related contexts, have allowed problems and issues to be identified and design strategies to be developed. While these are provisional they provide an overview of the design problems and have been used to plan a programme of experimental design and evaluation to test and develop principles of effective multimedia design for craft learning. </p

    Layered evaluation of interactive adaptive systems : framework and formative methods

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    05181 Abstracts Collection -- Mobile Computing and Ambient Intelligence: The Challenge of Multimedia

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    From 01.05.05 to 04.05.05, the Dagstuhl Seminar 05181 ``Mobile Computing and Ambient Intelligence: The Challenge of Multimedia\u27\u27was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

    Knowledge Representation for Robots through Human-Robot Interaction

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    The representation of the knowledge needed by a robot to perform complex tasks is restricted by the limitations of perception. One possible way of overcoming this situation and designing "knowledgeable" robots is to rely on the interaction with the user. We propose a multi-modal interaction framework that allows to effectively acquire knowledge about the environment where the robot operates. In particular, in this paper we present a rich representation framework that can be automatically built from the metric map annotated with the indications provided by the user. Such a representation, allows then the robot to ground complex referential expressions for motion commands and to devise topological navigation plans to achieve the target locations.Comment: Knowledge Representation and Reasoning in Robotics Workshop at ICLP 201
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